The production and productivity of field pea in Ethiopia is constrained by low-yielding potential of land race, susceptibility to diseases like powdery mildew and Ascochyta blight/spot as well as a biotic stresses like frost and soil acidity. The field experiment was conducted in 2018/19 main cropping season at two locations using simple lattice design to evaluate the genetic variability and performance of forty nine field pea genotypes for yield ad yield attributing traits. The combined/pooled / analysis of variance revealed highly significant (P≤0.01) to significant (P≤0.05) differences among genotypes observed for all traits under study except for number of seeds pod-1. The seed yield ranged from 1955 to 5997 kg ha-1 with a mean of 3803 kg across the two locations. Two genotypes PDFPT-BEK and P-313-053 were relatively high yielder over the two locations. The genotypic (GCV) and phenotypic (PCV) coefficient of variation (GCV) ranged from (1.07%) to (22.40%) and (1.22%) to (28.18% for days to maturity and grain yield, respectively for combined analyses. The PCV values were relatively greater than GCV in magnitude for all traits, of which significantly higher PCV than GCV values observed for number of pods per plant, Stand count, powdery mildew and ascocayta blight, but insignificant differences between PCV and GCV values observed for days to flowering, days to maturity, plant height, 1000 seed weight, and grain yield. Broad sense heritability ranged from 23.66% to 90.73%. The genetic advance as percentage of mean (GAM) varied from 1.92% to 36.73%. Higher heritability (H2) coupled with high GAM observed for grain yield per ha and Higher heritability (H2) coupled with Moderate or relatively high value of GAM in plant height and seed size. Therefore, improvement of these traits could be done through selection of genotypes based on the phenotypic performance.
Published in | Science Journal of Applied Mathematics and Statistics (Volume 8, Issue 6) |
DOI | 10.11648/j.sjams.20200806.11 |
Page(s) | 73-80 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Broad Sense Heritability, Genetic Advance, Genotypic Coefficient of Variation, Phenotypic Coefficient of Variation
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APA Style
Kedir Yimam, Aliyi Robsa, Gizachew Yilma, Temesgen Abo. (2020). Evaluation of Field Pea (Pisum sativum L.) Genotypes for Yield and Yield Attributing Traits at High Land of Arsi, South East Ethiopia. Science Journal of Applied Mathematics and Statistics, 8(6), 73-80. https://doi.org/10.11648/j.sjams.20200806.11
ACS Style
Kedir Yimam; Aliyi Robsa; Gizachew Yilma; Temesgen Abo. Evaluation of Field Pea (Pisum sativum L.) Genotypes for Yield and Yield Attributing Traits at High Land of Arsi, South East Ethiopia. Sci. J. Appl. Math. Stat. 2020, 8(6), 73-80. doi: 10.11648/j.sjams.20200806.11
AMA Style
Kedir Yimam, Aliyi Robsa, Gizachew Yilma, Temesgen Abo. Evaluation of Field Pea (Pisum sativum L.) Genotypes for Yield and Yield Attributing Traits at High Land of Arsi, South East Ethiopia. Sci J Appl Math Stat. 2020;8(6):73-80. doi: 10.11648/j.sjams.20200806.11
@article{10.11648/j.sjams.20200806.11, author = {Kedir Yimam and Aliyi Robsa and Gizachew Yilma and Temesgen Abo}, title = {Evaluation of Field Pea (Pisum sativum L.) Genotypes for Yield and Yield Attributing Traits at High Land of Arsi, South East Ethiopia}, journal = {Science Journal of Applied Mathematics and Statistics}, volume = {8}, number = {6}, pages = {73-80}, doi = {10.11648/j.sjams.20200806.11}, url = {https://doi.org/10.11648/j.sjams.20200806.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20200806.11}, abstract = {The production and productivity of field pea in Ethiopia is constrained by low-yielding potential of land race, susceptibility to diseases like powdery mildew and Ascochyta blight/spot as well as a biotic stresses like frost and soil acidity. The field experiment was conducted in 2018/19 main cropping season at two locations using simple lattice design to evaluate the genetic variability and performance of forty nine field pea genotypes for yield ad yield attributing traits. The combined/pooled / analysis of variance revealed highly significant (P≤0.01) to significant (P≤0.05) differences among genotypes observed for all traits under study except for number of seeds pod-1. The seed yield ranged from 1955 to 5997 kg ha-1 with a mean of 3803 kg across the two locations. Two genotypes PDFPT-BEK and P-313-053 were relatively high yielder over the two locations. The genotypic (GCV) and phenotypic (PCV) coefficient of variation (GCV) ranged from (1.07%) to (22.40%) and (1.22%) to (28.18% for days to maturity and grain yield, respectively for combined analyses. The PCV values were relatively greater than GCV in magnitude for all traits, of which significantly higher PCV than GCV values observed for number of pods per plant, Stand count, powdery mildew and ascocayta blight, but insignificant differences between PCV and GCV values observed for days to flowering, days to maturity, plant height, 1000 seed weight, and grain yield. Broad sense heritability ranged from 23.66% to 90.73%. The genetic advance as percentage of mean (GAM) varied from 1.92% to 36.73%. Higher heritability (H2) coupled with high GAM observed for grain yield per ha and Higher heritability (H2) coupled with Moderate or relatively high value of GAM in plant height and seed size. Therefore, improvement of these traits could be done through selection of genotypes based on the phenotypic performance.}, year = {2020} }
TY - JOUR T1 - Evaluation of Field Pea (Pisum sativum L.) Genotypes for Yield and Yield Attributing Traits at High Land of Arsi, South East Ethiopia AU - Kedir Yimam AU - Aliyi Robsa AU - Gizachew Yilma AU - Temesgen Abo Y1 - 2020/11/23 PY - 2020 N1 - https://doi.org/10.11648/j.sjams.20200806.11 DO - 10.11648/j.sjams.20200806.11 T2 - Science Journal of Applied Mathematics and Statistics JF - Science Journal of Applied Mathematics and Statistics JO - Science Journal of Applied Mathematics and Statistics SP - 73 EP - 80 PB - Science Publishing Group SN - 2376-9513 UR - https://doi.org/10.11648/j.sjams.20200806.11 AB - The production and productivity of field pea in Ethiopia is constrained by low-yielding potential of land race, susceptibility to diseases like powdery mildew and Ascochyta blight/spot as well as a biotic stresses like frost and soil acidity. The field experiment was conducted in 2018/19 main cropping season at two locations using simple lattice design to evaluate the genetic variability and performance of forty nine field pea genotypes for yield ad yield attributing traits. The combined/pooled / analysis of variance revealed highly significant (P≤0.01) to significant (P≤0.05) differences among genotypes observed for all traits under study except for number of seeds pod-1. The seed yield ranged from 1955 to 5997 kg ha-1 with a mean of 3803 kg across the two locations. Two genotypes PDFPT-BEK and P-313-053 were relatively high yielder over the two locations. The genotypic (GCV) and phenotypic (PCV) coefficient of variation (GCV) ranged from (1.07%) to (22.40%) and (1.22%) to (28.18% for days to maturity and grain yield, respectively for combined analyses. The PCV values were relatively greater than GCV in magnitude for all traits, of which significantly higher PCV than GCV values observed for number of pods per plant, Stand count, powdery mildew and ascocayta blight, but insignificant differences between PCV and GCV values observed for days to flowering, days to maturity, plant height, 1000 seed weight, and grain yield. Broad sense heritability ranged from 23.66% to 90.73%. The genetic advance as percentage of mean (GAM) varied from 1.92% to 36.73%. Higher heritability (H2) coupled with high GAM observed for grain yield per ha and Higher heritability (H2) coupled with Moderate or relatively high value of GAM in plant height and seed size. Therefore, improvement of these traits could be done through selection of genotypes based on the phenotypic performance. VL - 8 IS - 6 ER -